Sr. Data Engineer

Supercharge Your Career as a AI DevOps Engineer at Technoidentity!

At Technoidentity, we're a Data & AI product engineering company with over 15 years of expertise in building durable digital products, intelligent enterprise solutions, and scalable Data & AI platforms. As we continue expanding globally, it's the perfect time to join our team of tech innovators and make a lasting impact.

What’s in it for You?

We are looking for an AI DevOps Engineer with 0–3 years of experience who is passionate about AI, Cloud, DevOps, and Automation. The role involves building, deploying, and managing AI-powered applications, LLM solutions, and cloud-native platforms while ensuring reliability, scalability, security, and observability.

What Will You Be Doing?

• Develop and deploy AI/ML and Generative AI solutions using Python.
• Build applications leveraging LLMs, RAG, and AI agents.
• Create and maintain CI/CD pipelines for AI applications.
• Deploy and manage workloads using Docker and Kubernetes.
• Support cloud platforms (AWS, Azure, or GCP).
• Implement Infrastructure as Code (Terraform) and automation workflows.
• Monitor applications using observability tools such as Prometheus, Grafana, and logging platforms.
• Collaborate with engineering teams to ensure system reliability, performance, and security.
• Contribute to MLOps practices, AI accelerators, and reusable frameworks.

Requirements

What Makes You the Perfect Fit?

• Python programming (mandatory)
• Understanding of Machine Learning, LLMs, Prompt Engineering, and RAG
• Experience with OpenAI, LangChain, LlamaIndex, or Hugging Face
• Docker, Kubernetes, Git, and CI/CD tools
• AWS, Azure, or GCP
• PostgreSQL; MongoDB and Vector Databases are a plus
• Basic knowledge of MLOps, Terraform, and workflow orchestration tools (Airflow/Temporal)
• Familiarity with observability and monitoring tools

Qualifications

• Bachelor's degree in Computer Science, AI, Data Science, IT, or related field
• 0–3 years of experience in AI/ML, Software Engineering, Cloud, DevOps, or related areas

Nice to Have

• Experience with Agentic AI frameworks
• Knowledge of MLOps and AI platform operations
• Exposure to enterprise-grade monitoring, reliability engineering, and security best practices

Springer Capital is a cross-border asset management firm focused on real estate investment banking in China and the USA. We are offering a remote internship for individuals passionate about automation, cloud infrastructure, and CI/CD pipelines. Start and end dates are flexible, and applicants may be asked to complete a short technical quiz or assignment as part of the application process. 

Responsibilities: 

▪ Assist in building and maintaining CI/CD pipelines to automate development workflows 

▪ Monitor and improve system performance, reliability, and scalability 

▪ Manage cloud-based infrastructure (e.g., AWS, Azure, or GCP) 

▪ Support containerization and orchestration using Docker and Kubernetes 

▪ Implement infrastructure as code using tools like Terraform or CloudFormation 

▪ Collaborate with software engineering and data teams to streamline deployments 

▪ Troubleshoot system and deployment issues across development and production environments 

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking 4 DevOps Support Engineer to join one of our clients' teams in India who can start until 20th of July. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

Job requirements

Key Responsibilities:

• Monitor and troubleshoot AWS and/or Azure environments to ensure optimal performance and availability.
• Respond promptly to incidents and alerts, investigating and resolving issues efficiently.
• Perform basic scripting and automation tasks to streamline cloud operations (e.g., Bash, Python).
• Communicate clearly and fluently in English with customers and internal teams.
• Collaborate closely with the Team Lead, following Standard Operating Procedures (SOPs) and escalation workflows.
• Work in a rotating shift schedule, including weekends and nights, ensuring continuous support coverage.

Shift Details:

• Engineers rotate shifts, typically working 4–5 shifts per week.
• Each engineer works about 4 to 5 shifts per week, rotating through morning, evening, and night shifts—including weekends—to cover 24/7 support evenly among the team
• Rotation ensures no single engineer is always working nights or weekends; the load is shared fairly among the team.

Qualifications:

• 2–5 years of experience in DevOps or cloud support roles.
• Strong familiarity with AWS and/or Azure cloud environments.
• Experience with CI/CD tools such as GitHub Actions or Jenkins.
• Proficiency with monitoring tools like Datadog, CloudWatch, or similar.
• Basic scripting skills in Bash, Python, or comparable languages.
• Excellent communication skills in English.
• Comfortable and willing to work in a shift-based support role, including night and weekend shifts.
• Prior experience in a shift-based support environment is preferred.

What We Offer:

• Remote work opportunity — work from anywhere in India with a stable internet connection.
• Comprehensive training program including:
• Shadowing existing processes to gain hands-on experience.
• Learning internal tools, Standard Operating Procedures (SOPs), ticketing systems, and escalation paths to ensure smooth onboarding and ongoing success.

Job Summary

You'd be meticulously analyzing project requirements and carry forward the development of highly robust, scalable and easily maintainable backend applications, work independently, and you'll have the support & opportunity to thrive in a fast-paced environment.

Responsibilities and Duties:

• building and setting up new development tools and infrastructure
• understanding the needs of stakeholders and conveying this to developers
• working on ways to automate and improve development and release processes
• testing and examining code written by others and analysing results
• ensuring that systems are safe and secure against cybersecurity threats
• identifying technical problems and developing software updates and ‘fixes’
• working with software developers and software engineers to ensure that development follows established processes and works as intended
• planning out projects and being involved in project management decisions

Skill Requirements:

1. Managing GitHub (example: - creating branches for test, QA, development and production, creating Release tags, resolve merge conflict)
2. Setting up of the servers based on the projects in either AWS or Azure (test, development, QA, staging and production)
3. AWS S3 configuring and s3 web hosting, Archiving data from s3 to s3-glacier
4. Deploying the build(application) to the servers using AWS CI/CD and Jenkins (Automated and manual)
5. AWS Networking and Content delivery (VPC, Route 53 and CloudFront)
6. Managing databases like RDS, Snowflake, Athena, Redis and Elasticsearch
7. Managing IAM roles and policies for the functions like Lambda, SNS, aws cognito, secret manager, certificate manager, Guard Duty, Inspector EC2 and S3.
8. AWS Analytics (Elasticsearch, Athena, Glue and kinesis).
9. AWS containers (elastic container registry, elastic container service, elastic Kubernetes service, Docker Hub and Docker compose
10. AWS Auto scaling group (launch configuration, launch template) and load balancer
11. EBS (snapshots, volumes and AMI.)
12. AWS CI/CD build spec scripting, Jenkins groovy scripting, shell scripting and python scripting.
13. Sagemaker, Textract, forecast, LightSail
14. Android and IOS automation building
15. Monitoring tools like cloudwatch, cloudwatch log group, Alarm, metric dashboard, SNS(simple notification service), SES(simple email service)
16. Amazon MQ
17. Operating system Linux and windows
18. X-Ray, Cloud9, Codestar
19. Fluent Shell Scripting
20. Soft Skills
21. Scripting Skills , Good to have knowledge (Python, Javascript, Java,Node.js)
22. Knowledge On Various DevOps Tools And Technologies

Qualifications and Skills

Job Type: Full-time

Experience: 4 - 7 yrs

Qualification: BE/ BTech/MCA.

Location: Bengaluru, Karnataka